Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 61 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 8.2 KiB |
| Average record size in memory | 138.5 B |
Variable types
| Text | 1 |
|---|---|
| Numeric | 12 |
CochesVendidos_2017 is highly overall correlated with CochesVendidos_2018 and 4 other fields | High correlation |
CochesVendidos_2018 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
CochesVendidos_2019 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
CochesVendidos_2020 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
CochesVendidos_2021 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
CochesVendidos_2022 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
PIB_2017 is highly overall correlated with PIB_2018 and 4 other fields | High correlation |
PIB_2018 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
PIB_2019 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
PIB_2020 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
PIB_2021 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
PIB_2022 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
Country has unique values | Unique |
PIB_2017 has unique values | Unique |
PIB_2018 has unique values | Unique |
PIB_2019 has unique values | Unique |
PIB_2020 has unique values | Unique |
PIB_2021 has unique values | Unique |
PIB_2022 has unique values | Unique |
CochesVendidos_2017 has unique values | Unique |
CochesVendidos_2018 has unique values | Unique |
CochesVendidos_2019 has unique values | Unique |
CochesVendidos_2020 has unique values | Unique |
CochesVendidos_2021 has unique values | Unique |
CochesVendidos_2022 has unique values | Unique |
Reproduction
| Analysis started | 2023-11-25 16:59:07.926665 |
|---|---|
| Analysis finished | 2023-11-25 16:59:24.878204 |
| Duration | 16.95 seconds |
| Software version | ydata-profiling vv4.6.2 |
| Download configuration | config.json |
Country
Text
UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
Length
| Max length | 14 |
|---|---|
| Median length | 11 |
| Mean length | 7.295082 |
| Min length | 2 |
Characters and Unicode
| Total characters | 445 |
|---|---|
| Distinct characters | 47 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 61 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Argentina |
|---|---|
| 2nd row | Australia |
| 3rd row | Austria |
| 4th row | Belgium |
| 5th row | Brazil |
| Value | Count | Frequency (%) |
| argentina | 1 | 1.5% |
| egypt | 1 | 1.5% |
| australia | 1 | 1.5% |
| luxembourg | 1 | 1.5% |
| austria | 1 | 1.5% |
| belgium | 1 | 1.5% |
| brazil | 1 | 1.5% |
| bulgaria | 1 | 1.5% |
| canada | 1 | 1.5% |
| chile | 1 | 1.5% |
| Other values (56) | 56 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 67 | |
| i | 38 | 8.5% |
| n | 35 | 7.9% |
| e | 31 | 7.0% |
| r | 26 | 5.8% |
| l | 21 | 4.7% |
| o | 18 | 4.0% |
| t | 17 | 3.8% |
| u | 16 | 3.6% |
| s | 13 | 2.9% |
| Other values (37) | 163 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 369 | |
| Uppercase Letter | 71 | 16.0% |
| Space Separator | 5 | 1.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 67 | |
| i | 38 | |
| n | 35 | |
| e | 31 | 8.4% |
| r | 26 | 7.0% |
| l | 21 | 5.7% |
| o | 18 | 4.9% |
| t | 17 | 4.6% |
| u | 16 | 4.3% |
| s | 13 | 3.5% |
| Other values (14) | 87 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 9 | |
| A | 7 | 9.9% |
| U | 6 | 8.5% |
| C | 6 | 8.5% |
| I | 5 | 7.0% |
| P | 5 | 7.0% |
| R | 4 | 5.6% |
| K | 4 | 5.6% |
| M | 3 | 4.2% |
| N | 3 | 4.2% |
| Other values (12) | 19 |
Space Separator
| Value | Count | Frequency (%) |
| 5 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 440 | |
| Common | 5 | 1.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 67 | |
| i | 38 | 8.6% |
| n | 35 | 8.0% |
| e | 31 | 7.0% |
| r | 26 | 5.9% |
| l | 21 | 4.8% |
| o | 18 | 4.1% |
| t | 17 | 3.9% |
| u | 16 | 3.6% |
| s | 13 | 3.0% |
| Other values (36) | 158 |
Common
| Value | Count | Frequency (%) |
| 5 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 445 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 67 | |
| i | 38 | 8.5% |
| n | 35 | 7.9% |
| e | 31 | 7.0% |
| r | 26 | 5.8% |
| l | 21 | 4.7% |
| o | 18 | 4.0% |
| t | 17 | 3.8% |
| u | 16 | 3.6% |
| s | 13 | 2.9% |
| Other values (37) | 163 |
PIB_2017
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27826.312 |
| Minimum | 1177.083 |
|---|---|
| Maximum | 111211.77 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 620.0 B |
Quantile statistics
| Minimum | 1177.083 |
|---|---|
| 5-th percentile | 1957.97 |
| Q1 | 9599.362 |
| median | 20605.825 |
| Q3 | 42275.793 |
| 95-th percentile | 69864.671 |
| Maximum | 111211.77 |
| Range | 110034.69 |
| Interquartile range (IQR) | 32676.431 |
Descriptive statistics
| Standard deviation | 23402.728 |
|---|---|
| Coefficient of variation (CV) | 0.84102873 |
| Kurtosis | 1.5284589 |
| Mean | 27826.312 |
| Median Absolute Deviation (MAD) | 14028.538 |
| Skewness | 1.1761968 |
| Sum | 1697405 |
| Variance | 5.4768765 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 14618.327 | 1 | 1.6% |
| 9599.362 | 1 | 1.6% |
| 48799.874 | 1 | 1.6% |
| 42275.793 | 1 | 1.6% |
| 75940.152 | 1 | 1.6% |
| 17731.849 | 1 | 1.6% |
| 1653.406 | 1 | 1.6% |
| 3153.314 | 1 | 1.6% |
| 13819.834 | 1 | 1.6% |
| 21482.834 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 1177.083 | 1 | |
| 1653.406 | 1 | |
| 1932.763 | 1 | |
| 1957.97 | 1 | |
| 2592.707 | 1 | |
| 2655.99 | 1 | |
| 2957.899 | 1 | |
| 3153.314 | 1 | |
| 3885.465 | 1 | |
| 6577.287 | 1 |
| Value | Count | Frequency (%) |
| 111211.77 | 1 | |
| 82584.384 | 1 | |
| 75940.152 | 1 | |
| 69864.671 | 1 | |
| 61164.897 | 1 | |
| 59878.72 | 1 | |
| 57772.553 | 1 | |
| 55804.163 | 1 | |
| 53459.072 | 1 | |
| 48799.874 | 1 |
PIB_2018
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29686.301 |
| Minimum | 1271.677 |
|---|---|
| Maximum | 117993.37 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 620.0 B |
Quantile statistics
| Minimum | 1271.677 |
|---|---|
| 5-th percentile | 1974.378 |
| Q1 | 9848.949 |
| median | 23380.772 |
| Q3 | 45591.68 |
| 95-th percentile | 79184.608 |
| Maximum | 117993.37 |
| Range | 116721.69 |
| Interquartile range (IQR) | 35742.731 |
Descriptive statistics
| Standard deviation | 24924.645 |
|---|---|
| Coefficient of variation (CV) | 0.83960092 |
| Kurtosis | 1.5087854 |
| Mean | 29686.301 |
| Median Absolute Deviation (MAD) | 16457.132 |
| Skewness | 1.1734538 |
| Sum | 1810864.3 |
| Variance | 6.2123794 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 11786.433 | 1 | 1.6% |
| 10024.115 | 1 | 1.6% |
| 53224.694 | 1 | 1.6% |
| 42761.93 | 1 | 1.6% |
| 82605.966 | 1 | 1.6% |
| 19885.103 | 1 | 1.6% |
| 1698.034 | 1 | 1.6% |
| 3279.519 | 1 | 1.6% |
| 15504.366 | 1 | 1.6% |
| 23573.299 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 1271.677 | 1 | |
| 1618.967 | 1 | |
| 1698.034 | 1 | |
| 1974.378 | 1 | |
| 2710.158 | 1 | |
| 3118.258 | 1 | |
| 3216.254 | 1 | |
| 3279.519 | 1 | |
| 3947.248 | 1 | |
| 6923.64 | 1 |
| Value | Count | Frequency (%) |
| 117993.371 | 1 | |
| 85546.669 | 1 | |
| 82605.966 | 1 | |
| 79184.608 | 1 | |
| 66836.539 | 1 | |
| 62787.782 | 1 | |
| 61724.492 | 1 | |
| 56352.938 | 1 | |
| 54295.731 | 1 | |
| 53224.694 | 1 |
PIB_2019
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29249.866 |
| Minimum | 1302.277 |
|---|---|
| Maximum | 113860.53 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 620.0 B |
Quantile statistics
| Minimum | 1302.277 |
|---|---|
| 5-th percentile | 2050.163 |
| Q1 | 10054.023 |
| median | 23584.26 |
| Q3 | 43981.605 |
| 95-th percentile | 76303.683 |
| Maximum | 113860.53 |
| Range | 112558.26 |
| Interquartile range (IQR) | 33927.582 |
Descriptive statistics
| Standard deviation | 24296.099 |
|---|---|
| Coefficient of variation (CV) | 0.83063966 |
| Kurtosis | 1.339323 |
| Mean | 29249.866 |
| Median Absolute Deviation (MAD) | 16963.707 |
| Skewness | 1.1397306 |
| Sum | 1784241.9 |
| Variance | 5.9030044 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10054.023 | 1 | 1.6% |
| 10311.552 | 1 | 1.6% |
| 52672.504 | 1 | 1.6% |
| 42287.718 | 1 | 1.6% |
| 76303.683 | 1 | 1.6% |
| 19069.311 | 1 | 1.6% |
| 1500.683 | 1 | 1.6% |
| 3512.195 | 1 | 1.6% |
| 15694.594 | 1 | 1.6% |
| 23333.317 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 1302.277 | 1 | |
| 1500.683 | 1 | |
| 1812.738 | 1 | |
| 2050.163 | 1 | |
| 3240.513 | 1 | |
| 3439.102 | 1 | |
| 3512.195 | 1 | |
| 3688.953 | 1 | |
| 4194.086 | 1 | |
| 6540.141 | 1 |
| Value | Count | Frequency (%) |
| 113860.533 | 1 | |
| 84474.469 | 1 | |
| 80613.712 | 1 | |
| 76303.683 | 1 | |
| 66070.471 | 1 | |
| 65077.295 | 1 | |
| 59678.596 | 1 | |
| 54289.066 | 1 | |
| 52672.504 | 1 | |
| 51694.498 | 1 |
PIB_2020
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28383.234 |
| Minimum | 1376.512 |
|---|---|
| Maximum | 117616.15 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 620.0 B |
Quantile statistics
| Minimum | 1376.512 |
|---|---|
| 5-th percentile | 1913.22 |
| Q1 | 9062.958 |
| median | 22682.901 |
| Q3 | 43383.713 |
| 95-th percentile | 68275.277 |
| Maximum | 117616.15 |
| Range | 116239.64 |
| Interquartile range (IQR) | 34320.755 |
Descriptive statistics
| Standard deviation | 24479.492 |
|---|---|
| Coefficient of variation (CV) | 0.86246308 |
| Kurtosis | 1.9495544 |
| Mean | 28383.234 |
| Median Absolute Deviation (MAD) | 17010.623 |
| Skewness | 1.2867883 |
| Sum | 1731377.3 |
| Variance | 5.9924551 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8571.937 | 1 | 1.6% |
| 8770.022 | 1 | 1.6% |
| 52222.364 | 1 | 1.6% |
| 41307.21 | 1 | 1.6% |
| 68275.277 | 1 | 1.6% |
| 17076.319 | 1 | 1.6% |
| 1376.512 | 1 | 1.6% |
| 3325.836 | 1 | 1.6% |
| 15792.61 | 1 | 1.6% |
| 22224.555 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 1376.512 | 1 | |
| 1527.434 | 1 | |
| 1776.267 | 1 | |
| 1913.22 | 1 | |
| 3325.836 | 1 | |
| 3548.892 | 1 | |
| 3780.075 | 1 | |
| 3802.438 | 1 | |
| 3932.332 | 1 | |
| 5363.067 | 1 |
| Value | Count | Frequency (%) |
| 117616.151 | 1 | |
| 86109.53 | 1 | |
| 85786.688 | 1 | |
| 68275.277 | 1 | |
| 63577.341 | 1 | |
| 61274.006 | 1 | |
| 60926.877 | 1 | |
| 53094.491 | 1 | |
| 52706.294 | 1 | |
| 52222.364 | 1 |
PIB_2021
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32696.998 |
| Minimum | 1216.811 |
|---|---|
| Maximum | 134925.16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 620.0 B |
Quantile statistics
| Minimum | 1216.811 |
|---|---|
| 5-th percentile | 2238.127 |
| Q1 | 10631.665 |
| median | 26794.625 |
| Q3 | 51460.987 |
| 95-th percentile | 90540.804 |
| Maximum | 134925.16 |
| Range | 133708.35 |
| Interquartile range (IQR) | 40829.322 |
Descriptive statistics
| Standard deviation | 28424.87 |
|---|---|
| Coefficient of variation (CV) | 0.86934187 |
| Kurtosis | 1.8932183 |
| Mean | 32696.998 |
| Median Absolute Deviation (MAD) | 18628.988 |
| Skewness | 1.308099 |
| Sum | 1994516.9 |
| Variance | 8.0797321 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10631.665 | 1 | 1.6% |
| 10177.039 | 1 | 1.6% |
| 58960.71 | 1 | 1.6% |
| 48792.618 | 1 | 1.6% |
| 90540.804 | 1 | 1.6% |
| 19479.401 | 1 | 1.6% |
| 1565.575 | 1 | 1.6% |
| 3576.11 | 1 | 1.6% |
| 18008.152 | 1 | 1.6% |
| 24703.713 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 1216.811 | 1 | |
| 1565.575 | 1 | |
| 2013.971 | 1 | |
| 2238.127 | 1 | |
| 3576.11 | 1 | |
| 3753.428 | 1 | |
| 4145.939 | 1 | |
| 4362.677 | 1 | |
| 4874.309 | 1 | |
| 6239.269 | 1 |
| Value | Count | Frequency (%) |
| 134925.164 | 1 | |
| 101983.636 | 1 | |
| 93700.472 | 1 | |
| 90540.804 | 1 | |
| 77710.07 | 1 | |
| 70159.774 | 1 | |
| 69466.552 | 1 | |
| 63841.724 | 1 | |
| 61203.119 | 1 | |
| 58960.71 | 1 |
PIB_2022
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 33313.965 |
| Minimum | 1227.697 |
|---|---|
| Maximum | 126598.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 620.0 B |
Quantile statistics
| Minimum | 1227.697 |
|---|---|
| 5-th percentile | 2391.866 |
| Q1 | 12465.612 |
| median | 26832.304 |
| Q3 | 49843.163 |
| 95-th percentile | 93657.234 |
| Maximum | 126598.1 |
| Range | 125370.41 |
| Interquartile range (IQR) | 37377.551 |
Descriptive statistics
| Standard deviation | 28513.188 |
|---|---|
| Coefficient of variation (CV) | 0.85589297 |
| Kurtosis | 1.442785 |
| Mean | 33313.965 |
| Median Absolute Deviation (MAD) | 18628.762 |
| Skewness | 1.266142 |
| Sum | 2032151.8 |
| Variance | 8.1300189 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 13619.875 | 1 | 1.6% |
| 11265.544 | 1 | 1.6% |
| 57427.756 | 1 | 1.6% |
| 47226.095 | 1 | 1.6% |
| 105825.926 | 1 | 1.6% |
| 23240.138 | 1 | 1.6% |
| 1650.279 | 1 | 1.6% |
| 3623.593 | 1 | 1.6% |
| 18342.676 | 1 | 1.6% |
| 24540.377 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 1227.697 | 1 | |
| 1650.279 | 1 | |
| 2279.972 | 1 | |
| 2391.866 | 1 | |
| 3623.593 | 1 | |
| 4086.519 | 1 | |
| 4587.172 | 1 | |
| 4606.798 | 1 | |
| 4798.118 | 1 | |
| 6658.119 | 1 |
| Value | Count | Frequency (%) |
| 126598.103 | 1 | |
| 105825.926 | 1 | |
| 103311.007 | 1 | |
| 93657.234 | 1 | |
| 82807.649 | 1 | |
| 76343.247 | 1 | |
| 68294.907 | 1 | |
| 64813.854 | 1 | |
| 57427.756 | 1 | |
| 56188.324 | 1 |
CochesVendidos_2017
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1159222.7 |
| Minimum | 7801 |
|---|---|
| Maximum | 16188680 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 376.0 B |
Quantile statistics
| Minimum | 7801 |
|---|---|
| 5-th percentile | 27040 |
| Q1 | 118879 |
| median | 273458 |
| Q3 | 979039 |
| 95-th percentile | 3419716 |
| Maximum | 16188680 |
| Range | 16180879 |
| Interquartile range (IQR) | 860160 |
Descriptive statistics
| Standard deviation | 2777559.7 |
|---|---|
| Coefficient of variation (CV) | 2.3960535 |
| Kurtosis | 21.452898 |
| Mean | 1159222.7 |
| Median Absolute Deviation (MAD) | 192969 |
| Skewness | 4.5111387 |
| Sum | 70712587 |
| Variance | 7.7148381 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 859770 | 1 | 1.6% |
| 1508843 | 1 | 1.6% |
| 386442 | 1 | 1.6% |
| 145119 | 1 | 1.6% |
| 177900 | 1 | 1.6% |
| 140132 | 1 | 1.6% |
| 239725 | 1 | 1.6% |
| 434691 | 1 | 1.6% |
| 472921 | 1 | 1.6% |
| 243360 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 7801 | 1 | |
| 24223 | 1 | |
| 24834 | 1 | |
| 27040 | 1 | |
| 44264 | 1 | |
| 50165 | 1 | |
| 50495 | 1 | |
| 70304 | 1 | |
| 80489 | 1 | |
| 83991 | 1 |
| Value | Count | Frequency (%) |
| 16188680 | 1 | |
| 14117684 | 1 | |
| 4973577 | 1 | |
| 3419716 | 1 | |
| 2800661 | 1 | |
| 2630610 | 1 | |
| 2439778 | 1 | |
| 2169110 | 1 | |
| 2037877 | 1 | |
| 1876296 | 1 |
CochesVendidos_2018
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1167537.2 |
| Minimum | 16791 |
|---|---|
| Maximum | 16263975 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 376.0 B |
Quantile statistics
| Minimum | 16791 |
|---|---|
| 5-th percentile | 37380 |
| Q1 | 125618 |
| median | 262000 |
| Q3 | 1012499 |
| 95-th percentile | 3428367 |
| Maximum | 16263975 |
| Range | 16247184 |
| Interquartile range (IQR) | 886881 |
Descriptive statistics
| Standard deviation | 2771461.8 |
|---|---|
| Coefficient of variation (CV) | 2.3737674 |
| Kurtosis | 21.411888 |
| Mean | 1167537.2 |
| Median Absolute Deviation (MAD) | 173453 |
| Skewness | 4.4969711 |
| Sum | 71219772 |
| Variance | 7.6810006 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 772980 | 1 | 1.6% |
| 1396939 | 1 | 1.6% |
| 410003 | 1 | 1.6% |
| 146197 | 1 | 1.6% |
| 168174 | 1 | 1.6% |
| 122849 | 1 | 1.6% |
| 254560 | 1 | 1.6% |
| 378354 | 1 | 1.6% |
| 514889 | 1 | 1.6% |
| 251235 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 16791 | 1 | |
| 25581 | 1 | |
| 30218 | 1 | |
| 37380 | 1 | |
| 41650 | 1 | |
| 52426 | 1 | |
| 58557 | 1 | |
| 72013 | 1 | |
| 82917 | 1 | |
| 88547 | 1 |
| Value | Count | Frequency (%) |
| 16263975 | 1 | |
| 13919656 | 1 | |
| 5014383 | 1 | |
| 3428367 | 1 | |
| 2928332 | 1 | |
| 2519080 | 1 | |
| 2475994 | 1 | |
| 2458022 | 1 | |
| 1971108 | 1 | |
| 1832162 | 1 |
CochesVendidos_2019
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1137015.1 |
| Minimum | 20764 |
|---|---|
| Maximum | 15956729 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 376.0 B |
Quantile statistics
| Minimum | 20764 |
|---|---|
| 5-th percentile | 38328 |
| Q1 | 117691 |
| median | 262564 |
| Q3 | 934137 |
| 95-th percentile | 3593854 |
| Maximum | 15956729 |
| Range | 15935965 |
| Interquartile range (IQR) | 816446 |
Descriptive statistics
| Standard deviation | 2687430.6 |
|---|---|
| Coefficient of variation (CV) | 2.3635839 |
| Kurtosis | 21.431032 |
| Mean | 1137015.1 |
| Median Absolute Deviation (MAD) | 174230 |
| Skewness | 4.4834315 |
| Sum | 69357920 |
| Variance | 7.222283 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 436794 | 1 | 1.6% |
| 1288922 | 1 | 1.6% |
| 415736 | 1 | 1.6% |
| 139354 | 1 | 1.6% |
| 162173 | 1 | 1.6% |
| 108257 | 1 | 1.6% |
| 186588 | 1 | 1.6% |
| 387845 | 1 | 1.6% |
| 537814 | 1 | 1.6% |
| 245511 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 20764 | 1 | |
| 26839 | 1 | |
| 31726 | 1 | |
| 38328 | 1 | |
| 47274 | 1 | |
| 53656 | 1 | |
| 61707 | 1 | |
| 71850 | 1 | |
| 81875 | 1 | |
| 90908 | 1 |
| Value | Count | Frequency (%) |
| 15956729 | 1 | |
| 13188211 | 1 | |
| 4934557 | 1 | |
| 3593854 | 1 | |
| 2679239 | 1 | |
| 2577447 | 1 | |
| 2570268 | 1 | |
| 2410472 | 1 | |
| 1966372 | 1 | |
| 1772639 | 1 |
CochesVendidos_2020
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 949651.52 |
| Minimum | 15544 |
|---|---|
| Maximum | 13602914 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 376.0 B |
Quantile statistics
| Minimum | 15544 |
|---|---|
| 5-th percentile | 32477 |
| Q1 | 99389 |
| median | 215275 |
| Q3 | 720029 |
| 95-th percentile | 2926093 |
| Maximum | 13602914 |
| Range | 13587370 |
| Interquartile range (IQR) | 620640 |
Descriptive statistics
| Standard deviation | 2380262.6 |
|---|---|
| Coefficient of variation (CV) | 2.506459 |
| Kurtosis | 21.585784 |
| Mean | 949651.52 |
| Median Absolute Deviation (MAD) | 138788 |
| Skewness | 4.5551141 |
| Sum | 57928743 |
| Variance | 5.6656502 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 324340 | 1 | 1.6% |
| 927577 | 1 | 1.6% |
| 322283 | 1 | 1.6% |
| 106059 | 1 | 1.6% |
| 151411 | 1 | 1.6% |
| 69534 | 1 | 1.6% |
| 123403 | 1 | 1.6% |
| 226673 | 1 | 1.6% |
| 412650 | 1 | 1.6% |
| 163364 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 15544 | 1 | |
| 18697 | 1 | |
| 21667 | 1 | |
| 32477 | 1 | |
| 35264 | 1 | |
| 45323 | 1 | |
| 50892 | 1 | |
| 52553 | 1 | |
| 58136 | 1 | |
| 69534 | 1 |
| Value | Count | Frequency (%) |
| 13602914 | 1 | |
| 12419372 | 1 | |
| 4375857 | 1 | |
| 2926093 | 1 | |
| 2116932 | 1 | |
| 1963614 | 1 | |
| 1963496 | 1 | |
| 1714894 | 1 | |
| 1586302 | 1 | |
| 1450789 | 1 |
CochesVendidos_2021
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 972641.93 |
| Minimum | 7673 |
|---|---|
| Maximum | 14101851 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 376.0 B |
Quantile statistics
| Minimum | 7673 |
|---|---|
| 5-th percentile | 44019 |
| Q1 | 106380 |
| median | 236044 |
| Q3 | 770439 |
| 95-th percentile | 2627208 |
| Maximum | 14101851 |
| Range | 14094178 |
| Interquartile range (IQR) | 664059 |
Descriptive statistics
| Standard deviation | 2394686.4 |
|---|---|
| Coefficient of variation (CV) | 2.4620432 |
| Kurtosis | 22.213995 |
| Mean | 972641.93 |
| Median Absolute Deviation (MAD) | 154735 |
| Skewness | 4.6060294 |
| Sum | 59331158 |
| Variance | 5.7345231 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 352514 | 1 | 1.6% |
| 970626 | 1 | 1.6% |
| 288920 | 1 | 1.6% |
| 141467 | 1 | 1.6% |
| 182274 | 1 | 1.6% |
| 66356 | 1 | 1.6% |
| 236044 | 1 | 1.6% |
| 261666 | 1 | 1.6% |
| 429918 | 1 | 1.6% |
| 165172 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 7673 | 1 | |
| 21860 | 1 | |
| 23612 | 1 | |
| 44019 | 1 | |
| 44954 | 1 | |
| 46723 | 1 | |
| 52978 | 1 | |
| 53079 | 1 | |
| 66356 | 1 | |
| 81309 | 1 |
| Value | Count | Frequency (%) |
| 14101851 | 1 | |
| 12118025 | 1 | |
| 4232790 | 1 | |
| 2627208 | 1 | |
| 2537021 | 1 | |
| 1985907 | 1 | |
| 1982758 | 1 | |
| 1776985 | 1 | |
| 1533662 | 1 | |
| 1525872 | 1 |
CochesVendidos_2022
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 949283.93 |
| Minimum | 5118 |
|---|---|
| Maximum | 13105950 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 376.0 B |
Quantile statistics
| Minimum | 5118 |
|---|---|
| 5-th percentile | 36303 |
| Q1 | 106857 |
| median | 236269 |
| Q3 | 775589 |
| 95-th percentile | 2914485 |
| Maximum | 13105950 |
| Range | 13100832 |
| Interquartile range (IQR) | 668732 |
Descriptive statistics
| Standard deviation | 2372786.1 |
|---|---|
| Coefficient of variation (CV) | 2.4995537 |
| Kurtosis | 21.656274 |
| Mean | 949283.93 |
| Median Absolute Deviation (MAD) | 152747 |
| Skewness | 4.5737591 |
| Sum | 57906320 |
| Variance | 5.630114 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 378633 | 1 | 1.6% |
| 994945 | 1 | 1.6% |
| 279093 | 1 | 1.6% |
| 140207 | 1 | 1.6% |
| 172307 | 1 | 1.6% |
| 56723 | 1 | 1.6% |
| 224617 | 1 | 1.6% |
| 329205 | 1 | 1.6% |
| 400428 | 1 | 1.6% |
| 169705 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 5118 | 1 | |
| 23359 | 1 | |
| 27717 | 1 | |
| 36303 | 1 | |
| 37439 | 1 | |
| 41451 | 1 | |
| 42369 | 1 | |
| 45371 | 1 | |
| 49284 | 1 | |
| 56723 | 1 |
| Value | Count | Frequency (%) |
| 13105950 | 1 | |
| 12947827 | 1 | |
| 4027746 | 1 | |
| 2914485 | 1 | |
| 2618944 | 1 | |
| 1971613 | 1 | |
| 1774157 | 1 | |
| 1673864 | 1 | |
| 1402136 | 1 | |
| 1386382 | 1 |
| CochesVendidos_2017 | CochesVendidos_2018 | CochesVendidos_2019 | CochesVendidos_2020 | CochesVendidos_2021 | CochesVendidos_2022 | PIB_2017 | PIB_2018 | PIB_2019 | PIB_2020 | PIB_2021 | PIB_2022 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CochesVendidos_2017 | 1.000 | 0.993 | 0.982 | 0.963 | 0.970 | 0.966 | 0.151 | 0.152 | 0.138 | 0.125 | 0.125 | 0.102 |
| CochesVendidos_2018 | 0.993 | 1.000 | 0.992 | 0.978 | 0.983 | 0.978 | 0.091 | 0.092 | 0.078 | 0.069 | 0.067 | 0.041 |
| CochesVendidos_2019 | 0.982 | 0.992 | 1.000 | 0.991 | 0.984 | 0.978 | 0.088 | 0.089 | 0.077 | 0.067 | 0.066 | 0.041 |
| CochesVendidos_2020 | 0.963 | 0.978 | 0.991 | 1.000 | 0.983 | 0.969 | 0.076 | 0.076 | 0.065 | 0.060 | 0.058 | 0.032 |
| CochesVendidos_2021 | 0.970 | 0.983 | 0.984 | 0.983 | 1.000 | 0.981 | 0.052 | 0.051 | 0.040 | 0.034 | 0.033 | 0.009 |
| CochesVendidos_2022 | 0.966 | 0.978 | 0.978 | 0.969 | 0.981 | 1.000 | 0.035 | 0.035 | 0.021 | 0.014 | 0.010 | -0.011 |
| PIB_2017 | 0.151 | 0.091 | 0.088 | 0.076 | 0.052 | 0.035 | 1.000 | 0.997 | 0.995 | 0.990 | 0.992 | 0.989 |
| PIB_2018 | 0.152 | 0.092 | 0.089 | 0.076 | 0.051 | 0.035 | 0.997 | 1.000 | 0.998 | 0.993 | 0.994 | 0.991 |
| PIB_2019 | 0.138 | 0.078 | 0.077 | 0.065 | 0.040 | 0.021 | 0.995 | 0.998 | 1.000 | 0.996 | 0.997 | 0.994 |
| PIB_2020 | 0.125 | 0.069 | 0.067 | 0.060 | 0.034 | 0.014 | 0.990 | 0.993 | 0.996 | 1.000 | 0.998 | 0.990 |
| PIB_2021 | 0.125 | 0.067 | 0.066 | 0.058 | 0.033 | 0.010 | 0.992 | 0.994 | 0.997 | 0.998 | 1.000 | 0.994 |
| PIB_2022 | 0.102 | 0.041 | 0.041 | 0.032 | 0.009 | -0.011 | 0.989 | 0.991 | 0.994 | 0.990 | 0.994 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Country | PIB_2017 | PIB_2018 | PIB_2019 | PIB_2020 | PIB_2021 | PIB_2022 | CochesVendidos_2017 | CochesVendidos_2018 | CochesVendidos_2019 | CochesVendidos_2020 | CochesVendidos_2021 | CochesVendidos_2022 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Argentina | 14618.327 | 11786.433 | 10054.023 | 8571.937 | 10631.665 | 13619.875 | 859770 | 772980 | 436794 | 324340 | 352514 | 378633 |
| 1 | Australia | 55804.163 | 56352.938 | 54289.066 | 53094.491 | 63841.724 | 64813.854 | 1122073 | 1076319 | 983031 | 832657 | 909983 | 918373 |
| 2 | Austria | 47320.537 | 51234.477 | 50195.321 | 48857.083 | 53528.707 | 52191.771 | 379184 | 370315 | 358175 | 274619 | 286070 | 226794 |
| 3 | Belgium | 44274.073 | 47685.347 | 46783.005 | 45545.233 | 51472.103 | 49843.163 | 578146 | 579262 | 584100 | 464683 | 416309 | 385225 |
| 4 | Brazil | 10419.576 | 9629.603 | 9364.237 | 7344.529 | 8165.637 | 9455.328 | 2169110 | 2475994 | 2679239 | 1963496 | 1982758 | 1971613 |
| 5 | Bulgaria | 8414.389 | 9489.657 | 9914.386 | 10170.723 | 12300.185 | 13821.205 | 24223 | 30218 | 31726 | 21667 | 23612 | 27717 |
| 6 | Canada | 45191.993 | 46625.859 | 46449.962 | 43383.713 | 52387.812 | 55036.520 | 1876296 | 1832162 | 1772639 | 1419068 | 1525872 | 1386382 |
| 7 | Chile | 15003.770 | 15755.003 | 14567.988 | 13067.742 | 16092.149 | 15166.472 | 317643 | 356720 | 310755 | 207331 | 292132 | 284240 |
| 8 | China | 8760.259 | 9848.949 | 10170.061 | 10525.001 | 12572.071 | 12669.617 | 14117684 | 13919656 | 13188211 | 12419372 | 12118025 | 13105950 |
| 9 | Colombia | 6577.287 | 6923.640 | 6540.141 | 5363.067 | 6239.269 | 6658.119 | 221987 | 239593 | 243742 | 171191 | 228549 | 236269 |
| Country | PIB_2017 | PIB_2018 | PIB_2019 | PIB_2020 | PIB_2021 | PIB_2022 | CochesVendidos_2017 | CochesVendidos_2018 | CochesVendidos_2019 | CochesVendidos_2020 | CochesVendidos_2021 | CochesVendidos_2022 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 51 | Switzerland | 82584.384 | 85546.669 | 84474.469 | 86109.530 | 93700.472 | 93657.234 | 323045 | 309841 | 324087 | 250457 | 254218 | 240093 |
| 52 | Taiwan | 25061.624 | 25825.566 | 25903.168 | 28571.440 | 33186.341 | 32687.371 | 229128 | 212677 | 201192 | 215275 | 225785 | 216911 |
| 53 | Thailand | 6593.816 | 7298.941 | 7812.886 | 7169.877 | 7227.476 | 7069.589 | 816464 | 923253 | 934137 | 720029 | 670160 | 775589 |
| 54 | Ukraine | 2655.990 | 3118.258 | 3688.953 | 3780.075 | 4874.309 | 4606.798 | 80489 | 82917 | 90908 | 87090 | 103582 | 36303 |
| 55 | UAE | 41971.753 | 45591.680 | 43981.605 | 37648.963 | 43438.523 | 51399.958 | 253602 | 206731 | 205140 | 138923 | 179358 | 197830 |
| 56 | UK | 40666.831 | 43377.759 | 42797.258 | 40347.364 | 46421.611 | 45461.066 | 2630610 | 2458022 | 2410472 | 1714894 | 1776985 | 1673864 |
| 57 | USA | 59878.720 | 62787.782 | 65077.295 | 63577.341 | 70159.774 | 76343.247 | 16188680 | 16263975 | 15956729 | 13602914 | 14101851 | 12947827 |
| 58 | Uruguay | 18626.981 | 18604.958 | 17636.703 | 15198.368 | 17333.608 | 20022.144 | 50165 | 41650 | 38328 | 32477 | 46723 | 49284 |
| 59 | Uzbekistan | 1932.763 | 1618.967 | 1812.738 | 1776.267 | 2013.971 | 2279.972 | 118879 | 203695 | 267952 | 276378 | 216726 | 216726 |
| 60 | Vietnam | 2957.899 | 3216.254 | 3439.102 | 3548.892 | 3753.428 | 4086.519 | 208320 | 250255 | 284376 | 264569 | 256840 | 328862 |